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https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-powerbi-dashboard
Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.
https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-powerbi-dashboard
attendance-management-system deep-neural-networks dlib-face-recognition face-recoginition flask opencv opencv-python power-bi power-bi-dashboard powerbi powerbi-report python sqlite3
Last synced: about 7 hours ago
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Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.
- Host: GitHub
- URL: https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-powerbi-dashboard
- Owner: amlanmohanty1
- License: mit
- Created: 2024-06-11T08:04:53.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-13T22:31:24.000Z (5 months ago)
- Last Synced: 2024-06-14T06:22:49.280Z (5 months ago)
- Topics: attendance-management-system, deep-neural-networks, dlib-face-recognition, face-recoginition, flask, opencv, opencv-python, power-bi, power-bi-dashboard, powerbi, powerbi-report, python, sqlite3
- Language: CSS
- Homepage:
- Size: 18.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## Face Recognition based Attendance Management System (FRAMS)
Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.### Table of Contents
- [Features](#features)
- [Youtube Demo](#youtube-demo)
- [Installation and Usage](#installation-and-usage)
- [Technologies Used](#technologies-used)
- [Methodology](#methodology)
- [User Interface Demo](#user-interface-demo)
- [License](#license)### Features
- Face detection and recognition
- Attendance management
- Generates attendance reports in a csv file
- Secure admin login
- Interactive user interface
- Can detect multiple faces and mark attendance at a time
- Works in bright and low light conditions
- Attendance dashboards using Power BI### Youtube Demo
Here's the link of the [Youtube](https://youtu.be/JKSU7lbZ3ZE) video demonstrating this project.### Installation and Usage
1. Clone the repository:
```
git clone https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard.git
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
3. Replace the training images with your own set of images in the folder `Training images`.
4. Open the `app.py` file and change the file paths as per your system.
5. Run the `app.py` file.### Technologies Used
- **Programming Languages:** Python
- **Libraries:** OpenCV, dlib, face-recognition
- **Database:** SQLite
- **Web Application:** Flask, HTML, CSS, JavaScript
- **Data Visualization:** Power BI### Methodology
- **Environment Setup:** Created a conda environment and installed necessary dependencies including OpenCV, dlib, face-recognition, and Flask.
- **Face Detection:** Converted images to black and white, then used HOG to detect faces by comparing image gradients.
- **Face Embedding:** Used 128-dimensional vectors and the triplet loss function for distinguishing between faces.
- **Face Recognition:** Utilized Euclidean distance with a threshold of 0.5 to compare the generated face encodings with the actual encodings of the training images to recognize the faces.
- **Database Connection:** Stored attendance data in a SQLite database and exported it to CSV for Power BI integration.
- **Web Application:** Developed a Flask-based web app for real-time attendance capturing and management.
- **Power BI Dashboard:** Connected the attendance data to Power BI to create dashboards. Embedded Power BI reports into the web app for real-time insights.### User Interface Demo
- Fig.1: Home page of FRAMS
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/b5f28977-3781-4091-bd69-e2bdd392a548)- Fig.2: Attendance Punching using FRAMS
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/2ef80327-c75e-4c5e-810d-b5b6387b6dd2)- Fig.3: Face is detected in low light conditions
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/3578757a-a775-4f43-9d99-48e085af486c)
- Fig.4: Face is detected from different angles
- Fig.5: Administrator Login Page
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/9c60132b-0b56-4a1b-8cea-b7b87b43ea28)
- Fig.6: Page showing the current day’s attendance
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/b93b3afb-113d-406f-ad62-062b0fbaeb0e)
- Fig.7: Attendance Dashboard in Power BI
![image](https://github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard/assets/72063042/532a47ce-fd9b-4b6a-9ef8-effd19b22dc2)
### License
This project is licensed under the MIT License. Check out the [LICENSE](LICENSE) file for more details.